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Stochastik – alle Bücher und LPs, Seite 9

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Bayesian Network Modeling of Corrosion

This book represents a compilation of experience from a slate of experts involved in developing and deploying Bayesian Networks (BN) for corrosion management. The contributors describe how probability dis…

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Johannes Lederer
A First Course in Statistical Learning

This textbook introduces the fundamental concepts and methods of statistical learning. It uses Python and provides a unique approach by blending theory, data examples, software code, and exercises from be…

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Sam Efromovich
Survival Analysis

This textbook provides a unified account of estimating the survival function, hazard rate, cumulative hazard, density, regression, conditional distributions, and linear functionals for the current status …

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Yannik Venohr
Deep Learning in Personalized Music Emotion Recognition

Music has a unique power to evoke strong emotions in us-bringing us to tears, lifting us into ecstasy or triggering vivid memories. Often described as a universal language, it conveys feelings that transc…

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Statistics for Innovation I

Preface.- Plenary Sessions.- Specialized Sessions.- Solicited Sessions.

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Tsung-Wu Ho
Time Series Forecasting using Machine Learning

Preface.- Chapter 1 Time Series Basics in R.- Chapter 2 Predictive Time Series Modelling.- Chapter 3 Forecasting using Machine Learning Methods.- Chapter 4 Special Topics.- Chapter 5 Predictive Case Studi…

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Umberto Michelucci
Statistics for Scientists

This book offers researchers and practitioners a concise and accessible guide to the essential concepts in statistics, emphasizing their proper application. It encourages readers to delve deeper into the …

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Wilfredo Urbina-Romero, Ricardo Rios
An Introduction to the Modern Martingale Theory and Applications

Chapter 1: Introduction.- Chapter 2: Probability and Conditional Expectation.- Chapter 3: Advanced Topics in Martingale Theory.- Chapter 4: Burkholder's inequalities and Davis'sinequality.- Chapter 5: App…

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Mathematical Modeling in Physical Sciences

This volume gathers selected papers presented at the ICMSQUARE 2023 - 12th International Conference on Mathematical Modeling in Physical Sciences held in Belgrade, Serbia from August 28-31, 2023. This pro…

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Ilija Barukcic
Theoriae causalitatis principia mathematica

Dive into a treasure trove of knowledge with over 1,332 equations, 34 detailed figures, and 81 comprehensive tables. Perfect for students, researchers, and enthusiasts seeking clarity and precision. This …

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Margo Anderson, William Seltzer
Use and Misuse of the United States Census

The U.S. government conducts a population census every 10 years, adds up the counts by geographic location, and uses the resulting numbers in formulas to allocate seats in the House of Representative and …

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Active Particles, Volume 4

This edited volume collects nine surveys that present the state-of-the-art in modeling, qualitative analysis, and simulation of active particles, focusing on specific applications in the natural sciences.…

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Jolanta Misiewicz
A One-Semester Course on Probability

This concise textbook covers the full scope of an introductory course in modern probability theory, from elementary combinatorial methods to the central limit theorem, while maintaining mathematical rigor…

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Statistics for Innovation III

Preface.- Contributed Sessions 2.

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Hai-Dang Nguyen, George Yin, Chao Zhu
Hybrid Switching Diffusions

Chapter 1 Introduction and Motivation.- Chapter 2 Switching Diffusion.- Chapter 3 Recurrence.- Chapter 4 Ergodicity.- Chapter 5 Numerical Approximation.- Chapter 6 Stability.- Chapter 7 Stability of Switc…

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Yury A. Kutoyants
Hidden Markov Processes and Adaptive Filtering

1 Auxiliary Result.- 2 Small Noise in Both Equations.- 3 Small Noise in Observations.- 4 Hidden Ergodic O-U process.- 5 Hidden Telegraph Process.- 6 Hidden AR Process.- 7 Source Localization.

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Numerical Geometry, Grid Generation and Scientific Computing

This volume presents a selection of papers presented at the 11th International Conference on Numerical Geometry, Grid Generation, and Scientific Computing held December 12-14, 2022 in memory of Sergei Ale…

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Daniel Sorensen
Statistical Learning in Genetics

Overview.- Part I: Fitting Likelihood and Bayesian Models.- 2. Likelihood.- 3. Computing the Likelihood.- 4. Bayesian Methods.- 5. McMC in Practice.- Part II: Prediction.- 6. Fundamentals of Prediction.- …

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Numerical Mathematics and Advanced Applications ENUMATH 2023, Volume 2

This book gathers outstanding papers presented at the European Conference on Numerical Mathematics and Advanced Applications, ENUMATH 2023. The conference was held in Lisbon, Portugal, in September 2023. …

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Anthony C. Atkinson, Marco Riani, Aldo Corbellini, Domenico Perrotta
Robust Statistics Through the Monitoring Approach

This open access book presents robust statistical methods and procedures through the monitoring approach, with an emphasis on applications to linear regression. Illustrating the theory, it explores both l…

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